Data governance can mean different things to different stakeholders - but there are common threads of agreement

IT decision maker

Line of business

Ensuring sensitive data is classified and meets

legal and/or regulatory requirements

68%

56%

Ensuring data quality/driver of data

quality improvements

60%

41%

Creating and consistent review of policies

governing our organisation’s data landscape

57%

49%

Understanding data and its flows

across the organiation

48%

59%

Socialisation and sharing of data to end users

45%

41%

Building a centralised business glossary

of data standards

45%

37%

Clearly conveying data in terms

of relatable business context

44%

41%

Socialisation and sharing of data to end users

34%

29%

Enabling business intelligence self-service

36%

22%

Raising organisational data literacy

31%

27%

Understanding ETL operations

and the mapping in them

34%

22%

IT decision maker

Line of business

Ensuring sensitive data is classified and meets

legal and/or regulatory requirements

68%

56%

Ensuring data quality/driver of data quality improvements

60%

41%

Creating and consistent review of policies

governing our organisation’s data landscape

57%

49%

Understanding data and its flows across the organiation

48%

59%

Socialisation and sharing of data to end users

45%

41%

Building a centralised business glossary of data standards

45%

37%

Clearly conveying data in terms of relatable business context

44%

41%

Socialisation and sharing of data to end users

34%

29%

Enabling business intelligence self-service

36%

22%

Raising organisational data literacy

31%

27%

Understanding ETL operations and the mapping in them

34%

22%

IT decision maker

Line of business

Ensuring sensitive data is classified and meets legal and/or regulatory requirements

68%

56%

Ensuring data quality/driver of data quality improvements

60%

41%

Creating and consistent review of policies governing our organisation’s data landscape

57%

49%

Understanding data and its flows across the organiation

48%

59%

Socialisation and sharing of data to end users

45%

41%

Building a centralised business glossary of data standards

45%

37%

Clearly conveying data in terms of relatable business context

44%

41%

Socialisation and sharing of data to end users

34%

29%

Enabling business intelligence self-service

36%

22%

Raising organisational data literacy

31%

27%

Understanding ETL operations and the mapping in them

34%

22%

IT decision maker

Line of business

Ensuring sensitive data is classified and meets legal and/or regulatory requirements

68%

56%

Ensuring data quality/driver of data quality improvements

60%

41%

Creating and consistent review of policies governing our organisation’s data landscape

57%

49%

Understanding data and its flows across the organiation

48%

59%

Socialisation and sharing of data to end users

45%

41%

Building a centralised business glossary of data standards

45%

37%

Clearly conveying data in terms of relatable business context

44%

41%

Socialisation and sharing of data to end users

34%

29%

Enabling business intelligence self-service

36%

22%

Raising organisational data literacy

31%

27%

Understanding ETL operations and the mapping in them

34%

22%

Quest, 2023